Autonomous Systems Lab Manager
Listed on 2026-02-09
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Engineering
Robotics
Autonomous Systems Lab Manager
Date: Feb 6, 2026
Location:
Lexington, MA, US
Company:
MIT Lincoln Laboratory
The Tactical Autonomy Group develops and delivers AI-enabled autonomy and robotic systems where it counts – at the tactical edge. As an FFRDC, we combine academic depth in algorithms, controls, and machine learning with the execution speed of industry, and direct mission pull from operational end-users to solve problems others can t. We design, build, integrate, field-test, and transition autonomy stacks – spanning perception, decision-making, learning, and control – into real operations across the DoD and Intelligence Community.
PositionDescription
This position is for an autonomy-focused Lab Manager responsible for coordinating the day-to-day operations of the Autonomous Systems Development Facility (ASDF). The Lab Manager supports engineering staff from across the organization in the development of autonomous system prototypes, from implementation through indoor and outdoor testing and field experimentation.
Responsibilities include:
- Hands-on development of robotic systems, including maintaining, configuring, and upgrading a diverse fleet of autonomous platforms
- Planning, design, setup, and execution of indoor and outdoor experiments, including test safety, data collection, and post-processing
- Design and development of specialized test fixtures, instrumentation, software, and electronic circuits as required to support experimentation
- Operation of fixed-wing and multi-rotor UAVs in indoor and outdoor environments as part of experimental campaigns (FAA Part 107 required)
- Hosting VIP tours and conducting compelling robotic demonstrations to communicate technical capabilities and mission relevance to sponsors and visitors
- Maintain the overall functionality of the facility, including routine maintenance, infrastructure upgrades, safety compliance, and proposing future investments and capability expansions
- Operate and maintain field-testing vans and SUVs, including hauling equipment via trailers and operating large vehicles (e.g., Sprinter 2500) in support of test activities
General knowledge of electronic and computer equipment, software systems, and experimental testing techniques is required. The successful candidate will be highly organized, detail-oriented, and capable of managing multiple concurrent tasks with minimal supervision. This role requires strong interpersonal and leadership skills, including the ability to work effectively within a multidisciplinary team, coordinate and delegate work, and thrive in a fast-paced, dynamic research environment.
Minimum Qualifications- Minimum of 5 years of experience in a research or applied engineering environment maintaining and operating a laboratory
- Experience writing, reviewing, and overseeing UAV flight test planning
- In-depth knowledge of commercial and military autonomous vehicles (ground, maritime, and airborne) and experience maintaining, deploying, interfacing with and operating these systems in laboratory and field environments
- Active drone pilot's license (FAA Part 107)
- Excellent written and verbal communication skills
- Bachelor of Science in engineering related to autonomous systems, robotics, controls or artificial intelligence
- Prior experience working directly with military end-users, or prior military service related to autonomous systems
- Strong working knowledge of Linux operating systems and demonstrated proficiency in interfacing with and debugging C/C++, ROS, and Python
- Proficiency with scripting and analysis tools (e.g., MATLAB) and spreadsheets (e.g., Excel) for experimental data collection, along with configuration management and version control tools such as Git Hub
- Experience using, interfacing with, and modifying common robotics ground control (e.g., QGround
Control) and simulations environments (e.g., Gazebo, Real Flight) - Experience with 3D printing
$110,400 - $148,900
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on…
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